Effects of cognitive aging on credibility assessment of online health information

Authors:
Qingzi Vera Liao
Affiliations:
University of Illinois at Urbana Champaign, Urbana, IL, USA
Venue:
CHI '10 Extended Abstracts on Human Factors in Computing Systems
Year:
2010

Citing 7
Cited 3

Judgement of information quality and cognitive authority in the Web

Journal of the American Society for Information Science and Technology
Prominence-interpretation theory: explaining how people assess credibility online

CHI '03 Extended Abstracts on Human Factors in Computing Systems
How do users evaluate the credibility of Web sites?: a study with over 2,500 participants

Proceedings of the 2003 conference on Designing for user experiences
The influence of structural and message features on Web site credibility

Journal of the American Society for Information Science and Technology
Making sense of credibility on the Web: Models for evaluating online information and recommendations for future research

Journal of the American Society for Information Science and Technology
Adaptive information search: age-dependent interactions between cognitive profiles and strategies

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Credibility: A multidisciplinary framework

Annual Review of Information Science and Technology

Crowdsourcing quality control of online information: a quality-based cascade model

SBP'11 Proceedings of the 4th international conference on Social computing, behavioral-cultural modeling and prediction
How user reviews influence older and younger adults' credibility judgments of online health information

CHI '11 Extended Abstracts on Human Factors in Computing Systems
Age differences in credibility judgments of online health information

ACM Transactions on Computer-Human Interaction (TOCHI)

Quantified Score

Hi-index	0.00

Visualization

Abstract

Results from a study comparing how different Web contents and features influence younger and older adults' credibility assessment are reported. Results were in general consistent with the Elaboration Likelihood Model (ELM) of persuasive communication. It was found that cognitive aging differentially influences the processing of central arguments and peripheral cues (web features such as layouts, third-party endorsement). Specifically, older adults were in general worse at distinguishing between strong and weak arguments, and this effect was moderated by cognitive abilities and motivation for cognition. Results will be useful for informing designs that facilitate credibility assessment of health information for older adults.